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RESP: A Computer Aided OWL REasoner Selection Process

机译:RESP:计算机辅助的OWL推理者选择过程

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Existing approaches for selecting the most appropriate reasoner for different semantic applications mainly relies on discussions between application developers and reasoner experts. However this approach will become inadequate with the increasing adoption of Semantic Web technologies in applications from different domains and the rapid development of OWL reasoning technologies. This work proposes RESP, a computer aided reasoner selection process designed to perform reasoner selection for different applications and so reduce the effort and communication overhead required to select the most appropriate reasoner. Preliminary evaluation results show that RESP successfully helps application developers to select the most appropriate reasoner, or at least narrow down the number of candidate reasoners to consider. Contributions of this work are two folds: (1) the design of a (relatively simple but useful) computer aided OWL reasoner selection process, and (2) the identification and discussion of a set of example application characteristics that can affect the OWL reasoner selection.
机译:现有的针对不同语义应用选择最合适的推理机的方法主要依赖于应用程序开发人员和推理机专家之间的讨论。但是,随着不同领域的应用程序中语义Web技术的日益普及以及OWL推理技术的快速发展,这种方法将变得不够用。这项工作提出了RESP,这是一种计算机辅助的推理机选择过程,旨在对不同的应用程序进行推理机选择,从而减少了选择最合适的推理机所需的工作量和通信开销。初步评估结果表明,RESP成功地帮助应用程序开发人员选择了最合适的推理机,或者至少缩小了要考虑的候选推理机的数量。这项工作的贡献有两个方面:(1)设计(相对简单但有用的)计算机辅助的OWL推理机选择过程,以及(2)识别和讨论一组可能影响OWL推理机选择的示例应用程序特征。

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